I am a senior researcher at the AI Center of Excellence of Fidelity Investments, working on machine learning methods for asset management applications, in Igor Halperin's team.
Prior to that, I was a post-doctoral researcher at the Division of Applied Mathematics of Brown University, working under the supervision of George Karniadakis. I focused on physics-informed deep learning and meta-learning, as well as uncertainty quantification, for addressing forward and inverse problems involving partial differential equations, and operator learning problems.
I received my Ph.D. degree in computational stochastic dynamics from Columbia University under the supervision of Ioannis Kougioumtzoglou. During my doctoral studies, I developed analytical and numerical stochastic methodologies for the analysis and optimization of complex engineering systems under the presence of uncertainties.
I hold an M.Sc. and a Diploma in Engineering from UT Austin and University of Patras (Greece), respectively.
My work has been awarded with the Mindlin Scholar in Civil Engineering and Engineering Mechanics award from Columbia University, with two Best Student Paper awards from the Engineering Mechanics Institute, and with several fellowships.